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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Residual attention temporal recurrent network for fault diagnosis of gearboxes under limited labeled data
Jichao Zhuang, Jianhai Yan, Cheng‐Geng Huang, et al.
Engineering Applications of Artificial Intelligence (2023) Vol. 129, pp. 107539-107539
Closed Access | Times Cited: 14

Showing 14 citing articles:

Dynamic normalization supervised contrastive network with multiscale compound attention mechanism for gearbox imbalanced fault diagnosis
Yutong Dong, Hongkai Jiang, Wenxin Jiang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108098-108098
Closed Access | Times Cited: 34
Online Fault Diagnosis of Industrial Robot Using IoRT and Hybrid Deep Learning Techniques: An Experimental Approach
Hazrat Bilal, Mohammad S. Obaidat, Muhammad Shamrooz Aslam, et al.
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 19, pp. 31422-31437
Closed Access | Times Cited: 18
A novel lightweight DDPM-based data augmentation method for rotating machinery fault diagnosis with small sample
Caizi Fan, Yongchao Zhang, Kun Yu, et al.
Mechanical Systems and Signal Processing (2025) Vol. 232, pp. 112741-112741
Closed Access | Times Cited: 1
A fault diagnosis method for hydraulic system based on multi-branch neural networks
Huizhou Liu, Shibo Yan, Mengxing Huang, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 137, pp. 109188-109188
Closed Access | Times Cited: 5
A prior knowledge-enhanced self-supervised learning framework using time-frequency invariance for machinery intelligent fault diagnosis with small samples
Jian Tang, Jiawei Xiao, Wentao Chen, et al.
Engineering Applications of Artificial Intelligence (2024) Vol. 133, pp. 108503-108503
Closed Access | Times Cited: 4
Improved residual attention convolutional neural network for rotating machinery fault diagnosis in the presence of strong noise
Xianglong Meng, Jinfeng Li, Yan Zhang, et al.
Signal Image and Video Processing (2025) Vol. 19, Iss. 6
Closed Access
Few-shot sample multi-class incremental fault diagnosis for gearbox based on convolutional-attention fusion network
Zhen Guo, Wenliao Du, Zhiping Liu, et al.
Expert Systems with Applications (2024), pp. 125918-125918
Closed Access | Times Cited: 3
Multiscale pyramidal convolutional attention network for intelligent fault diagnosis of gearboxes
Chengju Dong, Yiwei Cheng, Wenwei Liu, et al.
Journal of Mechanical Science and Technology (2025)
Closed Access
Digital twin-enabled entropy regularized wavelet attention domain adaptation network for gearboxes fault diagnosis without fault data
Peng Zhu, Lei Deng, Baoping Tang, et al.
Advanced Engineering Informatics (2024) Vol. 64, pp. 103055-103055
Closed Access | Times Cited: 3
Feature Enhancement via Linear Transformation and Its Application in Fault Diagnosis
Biao He, Quan Qian, Yi Qin
IEEE Internet of Things Journal (2024) Vol. 11, Iss. 12, pp. 21895-21903
Closed Access | Times Cited: 2
Hierarchical multihead self-attention for time-series-based fault diagnosis
Chengtian Wang, Hongbo Shi, Bing Song, et al.
Chinese Journal of Chemical Engineering (2024) Vol. 70, pp. 104-117
Closed Access | Times Cited: 2
Resformer: An end-to-end framework for fault diagnosis of governor valve actuator in the coupled scenario of data scarcity and high noise
Yang Liu, Zhanpeng Jiang, Ning Zhang, et al.
Mechanical Systems and Signal Processing (2024) Vol. 224, pp. 112125-112125
Closed Access | Times Cited: 1
End-to-end multi-scale residual network with parallel attention mechanism for fault diagnosis under noise and small samples
Yawei Sun, Hongfeng Tao, Vladimir Stojanović
ISA Transactions (2024)
Closed Access | Times Cited: 1
Gearbox fault diagnosis based on Gramian angular field and TLCA-MobileNetV3 with limited samples
Shuihai Dou, Xuemin Cheng, Yanping Du, et al.
International Journal of Metrology and Quality Engineering (2024) Vol. 15, pp. 15-15
Open Access | Times Cited: 1
Step-wise contrastive representation learning for diagnosing unknown defective categories in planetary gearboxes
Peng Chen, Rundong Zhang, Shuai Fan, et al.
Knowledge-Based Systems (2024), pp. 112863-112863
Closed Access
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